Ling Li

According to our database, Ling Li authored at least 70 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Efficient and Fast High-Performance Library Generation for Deep Learning Accelerators.

Jun Bi, Yuanbo Wen, Xiaqing Li, Yongwei Zhao, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen, Qi Guo

IEEE Trans. Computers, January, 2025

2024

REACT: Remainder Adaptive Compensation for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Ling Li

IEEE Trans. Image Process., 2024

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Ling Li, Yunji Chen

CoRR, 2024

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification.

Yuxuan Guo, Shaohui Peng, Jiaming Guo, Di Huang, Xishan Zhang, Rui Zhang, Yifan Hao, Ling Li, Zikang Tian, Mingju Gao, Yutai Li, Yiming Gan, Shuai Liang, Zihao Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

CoRR, 2024

Assessing and Understanding Creativity in Large Language Models.

Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yifan Hao, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Ling Li, Yunji Chen

CoRR, 2024

Privacy-preserving Compression for Efficient Collaborative Inference.

Yuzhe Luo, Ji Qi, Jiageng Yu, Ruizhi Chen, Ke Gao, Ling Li, Chen Zhao

Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

Prompt-based Visual Alignment for Zero-shot Policy Transfer.

Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, QiCheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AutoOS: Make Your OS More Powerful by Exploiting Large Language Models.

Huilai Chen, Yuanbo Wen, Limin Cheng, Shouxu Kuang, Yumeng Liu, Weijia Li, Ling Li, Rui Zhang, Xinkai Song, Wei Li, Qi Guo, Yunji Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning.

Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning.

Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning controllable elements oriented representations for reinforcement learning.

Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Ruizhi Chen, Ling Li, Yunji Chen

Neurocomputing, September, 2023

Local-Global Cross Fusion Network With Gaussian-Initialized Learnable Positional Prompting for Hyperspectral Image Classification.

Xin Zhang, Rui Zhang, Ling Li, Wei Li

IEEE Trans. Geosci. Remote. Sens., 2023

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning.

Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

CoRR, 2023

Pushing the Limits of Machine Design: Automated CPU Design with AI.

Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Yunhao Tian, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Ling Li, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

CoRR, 2023

Ultra-low Precision Multiplication-free Training for Deep Neural Networks.

Chang Liu, Rui Zhang, Xishan Zhang, Yifan Hao, Zidong Du, Xing Hu, Ling Li, Qi Guo

CoRR, 2023

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning.

Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.

Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning.

Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression.

Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context Shift Reduction for Offline Meta-Reinforcement Learning.

Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators.

Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

Conceptual Reinforcement Learning for Language-Conditioned Tasks.

Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TSA-SCC: Text Semantic-Aware Screen Content Coding With Ultra Low Bitrate.

Tong Tang, Ling Li, Xiaoyu Wu, Ruizhi Chen, Haochen Li, Guo Lu, Limin Cheng

IEEE Trans. Image Process., 2022

Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training.

Chang Liu, Xishan Zhang, Rui Zhang, Ling Li, Shiyi Zhou, Di Huang, Zhen Li, Zidong Du, Shaoli Liu, Tianshi Chen

IEEE Trans. Image Process., 2022

Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System.

Zidong Du, Qi Guo, Yongwei Zhao, Xi Zeng, Ling Li, Limin Cheng, Zhiwei Xu, Ninghui Sun, Yunji Chen

IEEE Trans. Computers, 2022

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning.

Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BabelTower: Learning to Auto-parallelized Program Translation.

Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen

Proceedings of the International Conference on Machine Learning, 2022

2021

A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis.

Di Huang, Rui Zhang, Xishan Zhang, Fan Wu, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li, Yunji Chen

Int. J. Comput. Vis., 2021

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms.

Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2021

Cambricon-Q: A Hybrid Architecture for Efficient Training.

Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

ParaML: A Polyvalent Multicore Accelerator for Machine Learning.

Shengyuan Zhou, Qi Guo, Zidong Du, Dao-Fu Liu, Tianshi Chen, Ling Li, Shaoli Liu, Jinhong Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Machine Learning Computers With Fractal von Neumann Architecture.

Yongwei Zhao, Zhe Fan, Zidong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhiwei Xu, Tianshi Chen, Yunji Chen

IEEE Trans. Computers, 2020

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach.

Xi Zeng, Tian Zhi, Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Bingrui Wang, Yuanbo Wen, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Ninghui Sun, Yunji Chen

IEEE Trans. Computers, 2020

Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation.

Ruizhi Chen, Ling Li

Neural Comput., 2020

2019

Addressing Sparsity in Deep Neural Networks.

Xuda Zhou, Zidong Du, Shijin Zhang, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

A low delay rate control method for screen content coding.

Tong Tang, Ling Li

Multim. Tools Appl., 2019

Improved hierarchical quantisation parameter setting method for screen content coding in high efficiency video coding.

Tong Tang, Ling Li, Jun Li

IET Image Process., 2019

Cambricon-F: machine learning computers with fractal von neumann architecture.

Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

An Instruction Set Architecture for Machine Learning.

Yunji Chen, Huiying Lan, Zidong Du, Shaoli Liu, Jinhua Tao, Dong Han, Tao Luo, Qi Guo, Ling Li, Yuan Xie, Tianshi Chen

ACM Trans. Comput. Syst., 2018

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach.

Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Chengsi Liu, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Yunji Chen

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2017

An Accelerator for High Efficient Vision Processing.

Zidong Du, Shaoli Liu, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Qi Guo, Xiaobing Feng, Yunji Chen, Olivier Temam

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

DaDianNao: A Neural Network Supercomputer.

Tao Luo, Shaoli Liu, Ling Li, Yuqing Wang, Shijin Zhang, Tianshi Chen, Zhiwei Xu, Olivier Temam, Yunji Chen

IEEE Trans. Computers, 2017

Rate control for non-uniform video in HEVC.

Tong Tang, Ling Li

J. Vis. Commun. Image Represent., 2017

2016

IMR: High-Performance Low-Cost Multi-Ring NoCs.

Shaoli Liu, Tianshi Chen, Ling Li, Xiaoxue Feng, Zhiwei Xu, Haibo Chen, Frederic T. Chong, Yunji Chen

IEEE Trans. Parallel Distributed Syst., 2016

Adaptive deblocking method for low bitrate coded HEVC video.

Tong Tang, Ling Li

J. Vis. Commun. Image Represent., 2016

Cambricon-X: An accelerator for sparse neural networks.

Shijin Zhang, Zidong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

2015

FreeRider: Non-Local Adaptive Network-on-Chip Routing with Packet-Carried Propagation of Congestion Information.

Shaoli Liu, Tianshi Chen, Ling Li, Xi Li, Mingzhe Zhang, Chao Wang, Haibo Meng, Xuehai Zhou, Yunji Chen

IEEE Trans. Parallel Distributed Syst., 2015

Robust Design Space Modeling.

Qi Guo, Tianshi Chen, Zhi-Hua Zhou, Olivier Temam, Ling Li, Depei Qian, Yunji Chen

ACM Trans. Design Autom. Electr. Syst., 2015

Deterministic Replay: A Survey.

Yunji Chen, Shijin Zhang, Qi Guo, Ling Li, Ruiyang Wu, Tianshi Chen

ACM Comput. Surv., 2015

ShiDianNao: shifting vision processing closer to the sensor.

Zidong Du, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Xiaobing Feng, Yunji Chen, Olivier Temam

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

2014

A novel hardware/software partitioning for SIMD-based real-time AVS video decoder.

Liwei Chen, Ming Cong, Jing Huang, Ling Li, Hongwei Liu, Cheng Qian

Multim. Tools Appl., 2014

Auxiliary stream for optimizing memory access of video decoders.

Shaoli Liu, Ling Li, Yunji Chen, Weiwu Hu

Sci. China Inf. Sci., 2014

DaDianNao: A Machine-Learning Supercomputer.

Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam

Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014

2013

Effective and efficient microprocessor design space exploration using unlabeled design configurations.

Tianshi Chen, Yunji Chen, Qi Guo, Zhi-Hua Zhou, Ling Li, Zhiwei Xu

ACM Trans. Intell. Syst. Technol., 2013

Motion Estimation Without Integer-Pel Search.

Ling Li, Shaoli Liu, Yunji Chen, Tianshi Chen, Tao Luo

IEEE Trans. Image Process., 2013

LDet: Determinizing Asynchronous Transfer for Postsilicon Debugging.

Yunji Chen, Tianshi Chen, Ling Li, Lei Li, Liang Yang, Menghao Su, Weiwu Hu

IEEE Trans. Computers, 2013

Deterministic Replay Using Global Clock.

Yunji Chen, Tianshi Chen, Ling Li, Ruiyang Wu, Dao-Fu Liu, Weiwu Hu

ACM Trans. Archit. Code Optim., 2013

Microarchitectural design space exploration made fast.

Qi Guo, Tianshi Chen, Yunji Chen, Ling Li, Weiwu Hu

Microprocess. Microsystems, 2013

2012

Program Regularization in Memory Consistency Verification.

Yunji Chen, Lei Li, Tianshi Chen, Ling Li, Lei Wang, Xiaoxue Feng, Weiwu Hu

IEEE Trans. Parallel Distributed Syst., 2012

Global Adaptive Routing Algorithm Without Additional Congestion Propagation Network

Shaoli Liu, Yunji Chen, Tianshi Chen, Ling Li, Chao Lu

CoRR, 2012

RepTFD: Replay Based Transient Fault Detection

Lei Li, Tianshi Chen, Yunji Chen, Ling Li, Ruiyang Wu

CoRR, 2012

Performance Prediction for Reconfigurable Processor.

Dao-Fu Liu, Qi Guo, Tianshi Chen, Ling Li, Yunji Chen

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2011

An FFT Performance Model for Optimizing General-Purpose Processor Architecture.

Ling Li, Yunji Chen, Dao-Fu Liu, Cheng Qian, Weiwu Hu

J. Comput. Sci. Technol., 2011

Efficient Deterministic Replay Using Complete Race Detection

Qi Guo, Yunji Chen, Tianshi Chen, Ling Li

CoRR, 2011

Brief announcement: program regularization in verifying memory consistency.

Lei Li, Tianshi Chen, Yunji Chen, Ling Li, Cheng Qian, Weiwu Hu

Proceedings of the SPAA 2011: Proceedings of the 23rd Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2011

Video Encoding without Integer-Pel Motion Estimation.

Shaoli Liu, Ling Li, Yunji Chen, Tianshi Chen

Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

2010

Compression Quality Prediction Model for JPEG2000.

Ling Li, Zhensong Wang

IEEE Trans. Image Process., 2010

2009

Adaptive rate control for Motion JPEG2000.

Ling Li, Meng Guo, Zhensong Wang

IET Image Process., 2009

A Digital Cinema Playback system compliant with the DCI specification.

Zhensong Wang, Ling Li, Xi-Shuang Wang, Ke Zhang, Kai Wang, Ping Yao, Wen-Dong Cao, Huanghui Shen

Proceedings of the 2009 Picture Coding Symposium, 2009

A quality prediction model for JPEG2000-based color images.

Ling Li, Zhensong Wang

Proceedings of the IEEE International Conference on Acoustics, 2009